👋 Guang-Ze Yang
Researcher in Control Theory & Robotics
Also Known As
Grayson Young
楊 広沢 (よう こうたく)
杨 广泽 (Yang Guang-Ze)
🚀 About Me
I build optimal, safety-critical controllers for multi-robot systems. At Ibaraki University (Japan), my research focuses on enabling teams of robots to collaborate effectively through distributed and robust optimal control strategies in real-time. Through my blog Notebook, I share knowledge and insights on robotics, control theory, programming, and personal growth.
🎯 Current Focus
- Research: Model Predictive Control (MPC), Control Barrier Functions (CBF)
- Status: Starting full-time career in autonomous multi-robot systems research, April 2026
- Building: Open-source projects related to MPC, CBF and formation control
- Learning: Publishing for academic journals
🔬 Research Interests
- Optimal & Robust Control
Applying advanced control theory to ensure system performance and stability under disturbances and model uncertainties. - Distributed Multi-Robot Control
Designing decentralized algorithms that enable robot teams to perform complex tasks collaboratively. - Motion Control & Path Planning
Developing algorithms for autonomous robot navigation and obstacle avoidance.
🎓 Education
Master of Engineering
Mechanical Systems Engineering
Ibaraki University
April 2024 – March 2026Bachelor of Engineering
Mechanical Systems Engineering
Ibaraki University
April 2020 – March 2024📚 Publications
Conference Papers
G. -Z. Yang and Z. -J. Yang, "Distributed Robust Time-Varying Formation Control of Multi-Agent Systems Under Disturbances," 2024 SICE Festival with Annual Conference, Kochi City, Japan, 2024.
⚡ Technical Skills Overview
💻 Programming & Platforms
Control System Simulation
Data Analysis, AI/ML
Container
Development Environment
🤖 Robotics
Robot Operating System
Real-time Systems
Embedded Systems
CAD Design
🔥 Core Knowledge Areas
Optimal & Robust Control, Nonlinear multi-robot Systems
Kinematics, Dynamics, Mobile Robotics.
Convex Optimization, Nonlinear Programming (NLP)
Reinforcement Learning, Neural Networks
🛠️ Tools
Version Control & Collaboration
Academic Publishing
IDE
High-Performance Python Packager
🌐 Languages
Chinese
English
Japanese
🌟 Personal Interests
- Fitness
Training & running 4-5×/week - Sports
Weekly basketball sessions - Reading
Biography, Philosophy, Self-improvement
- Gaming
Zelda, Fire Emblem, Monster Hunter - Music
J-pop, R&B, International
💭 Philosophy
"Stoic in hardship, humble in success."
"知之者不如好之者，好之者不如樂之者。" — Confucius
This philosophy forms the cornerstone of my approach to both research and life. I believe that pursuing meaningful work demands the perseverance to face challenging, long-term problems, as well as the humility to continuously learn from new insights and to collaborate openly and effectively with others.
📬 Let's Connect!
I'm always open to discussing research opportunities, collaboration, or connecting with fellow enthusiasts in robotics and control systems.